AI Security Threat Feed
Latest CVEs affecting AI/ML systems — LLM frameworks, ML libraries, AI agents, vector databases, and inference servers. Vulnerabilities are tracked from NVD, GitHub Advisory, CISA KEV, MITRE ATLAS, and enriched with CVSS, EPSS, exploitation confidence, AI-component classification, and compliance mappings to ISO 42001, EU AI Act, NIST AI RMF, and OWASP LLM Top 10. Updated continuously as new CVEs are published.
- CVSS severity
- EPSS exploit probability
- Exploitation confidence
- AI-component classification
- Compliance mappings
AI/ML CVEs Tracked
Critical
New This Week
In CISA KEV
Latest AI Security Threats
Showing 20 of 818 results — Active exploitation, no patchGradio: NTFS ADS bypass exposes blocked file paths
CVE-2024-12217 LLaVA: path traversal allows arbitrary file read
CVE-2024-12065 Ollama: DoS via malicious gguf model file upload
CVE-2024-12055 vllm: RCE via unsafe pickle deserialization in MessageQueue
CVE-2024-11041 gpt_academic: path traversal exposes LLM API keys
CVE-2024-11037 GPT Academic: SSRF in Markdown plugin leaks credentials
CVE-2024-11031 GPT Academic: SSRF via unsanitized HotReload plugin
CVE-2024-11030 gpt_academic: RCE via unsandboxed prompt injection
CVE-2024-10950 ChuanhuChatGPT: path traversal exposes server files unauthed
CVE-2024-10707 ChuanhuChatGPT: DoS via multipart payload exhaustion
CVE-2024-10650 Gradio: path traversal enables arbitrary file deletion DoS
CVE-2024-10648 Gradio: ReDoS in DateTime causes CPU exhaustion DoS
CVE-2024-10624 Gradio: zip bomb DoS via dataframe CSV upload
CVE-2024-10569 vLLM: RCE via unsafe deserialization in Mooncake KV
CVE-2025-29783 vLLM: DoS via unbounded grammar cache exhausts disk
CVE-2025-29770 Keras: safe_mode bypass enables RCE via model loading
CVE-2025-1550 PyTorch: improper init in quantized sigmoid skews model output
CVE-2025-2149 PyTorch: memory corruption in JIT profiler callback handler
CVE-2025-2148 picklescan: ZIP flag bypass enables RCE in PyTorch models
CVE-2025-1945 gpt_academic: symlink traversal exposes all server files
CVE-2025-25185 Frequently asked questions
What is an AI security threat feed?
An AI security threat feed is a continuously updated stream of vulnerabilities (CVEs) affecting AI and machine-learning systems — LLM frameworks, ML libraries, AI agents, vector databases, and inference servers — filtered out of the broader CVE firehose and enriched for relevance.
Which sources are the AI CVEs tracked from?
CVEs are tracked from NVD, GitHub Advisory, CISA KEV, and MITRE ATLAS, then enriched with CVSS, EPSS, exploitation confidence, AI-component classification, and compliance mappings.
What AI systems do these vulnerabilities affect?
Coverage spans LLM frameworks, ML libraries, AI agents, vector databases, and inference servers — the components most security teams now run in production.
How often is the AI threat feed updated?
The feed updates continuously as new CVEs are published and enriched, so the most recent AI/ML vulnerabilities appear at the top.
Is the AI security feed free?
Yes — the public feed is free to browse. A Pro subscription adds breaking alerts, MITRE ATLAS mappings, compliance reports (ISO 42001, EU AI Act), and full CISO analysis.
Need deeper analysis?
Get ATLAS technique mappings, compliance reports (ISO 42001, EU AI Act), breaking alerts, and full CISO analysis with a Pro subscription.
Start 14-Day Free Trial